Competitive exclusion in a multi-strain SIS epidemic model on complex networks
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Date
2019-01-14
Authors
Yang, Junyuan
Kuniya, Toshikazu
Luo, Xiaofeng
Journal Title
Journal ISSN
Volume Title
Publisher
Texas State University, Department of Mathematics
Abstract
In this article, we propose an infection age-structured multi-strain SIS epidemic model on complex networks. We obtain the reproduction numbers for each strain by using the classical theory of renewal equations, and we define the basic reproduction number R0 for the whole system by the maximum of them. We prove that if R0 < 1, then the disease-free equilibrium of the model is globally asymptotically stable, whereas if R0 > 1, then there exists an endemic equilibrium in which only one strain with the largest reproduction number survives. Moreover, under an additional assumption that the recovery rate is homogeneous, we prove that such an endemic equilibrium is globally asymptotically stable. Interestingly, our theoretical results imply that the competitive exclusion can occur in a sense that only one strain with the largest reproduction number survives.
Description
Keywords
Multi-strain SIS epidemic model, Complex network, Infection age, Basic reproduction number, Global stability, Competitive exclusion
Citation
Yang, J., Kuniya, T., & Lu, X. (2019). Competitive exclusion in a multi-strain SIS epidemic model on complex networks. <i>Electronic Journal of Differential Equations, 2019</i>(06), pp. 1-30.
Rights
Attribution 4.0 International